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Recorded at IAFT watch Western Growers present this joint project with Creme Global on leading an industry-wide data-sharing initiative to ensure food safety with leafy greens. Talk description Abstract Introduction:

At IAFP Brendan Ring, Commercial Director at Creme Global was invited to talk about Data Trusts and the work we have done with various clients. To find out more about

At the American Chemical Society ACS conference William O’Sullivan of Creme Global presented on the methods and tools for enhanced human health risk assessment. You can watch that talk here.

Creme Global has joined with Dawn Farm Foods and University College Dublin’s digital development hub, CeADAR, on a €3M Industrial Research Project to change the landscape of food innovation forever. As part of this, they have secured co-funding from the highly prestigious Disruptive Technologies Innovation Fund by the Irish Government.

One of the most valuable applications for mathematical or scientific models is to be able to accurately predict the future. In the absence of a crystal ball, how you go about that depends on what you want to predict, and on what you already know.

As part of the PROTECT Education and Outreach program, two of the Creme team visited two schools in Laxmipuram village, in the Andhra Pradesh State in India. Part of the

March SOCMA / Specialty & Custom Chemicals America Texas, USA Omni Fort Worth Hotel will host the Specialty & Custom Chemicals Show from the 28th of February to the 3rd

January Monell Symposium Wageningen, Netherlands On January 18th, 2022, The Monell Symposium is a valuable conference about sensory organs and their workings. The conference’s theme is “Exploring the Potential of

When it comes to beverages, the reformulation challenge is notably simpler, as the sweetness of the sugars can be replaced with far smaller quantities of sweeteners which delivers the desired calorie reduction.

Cronan McNamara, CEO, Creme GlobalAI and Predictive Modelling in the Food Industry.What Can It Do for You?IAFP 2021, Wednesday, 28 April 2021 Brendan Ring, Commercial Director, Creme GlobalEnabling a Preventative

“Each year – Unsafe food causes 600 million cases of foodborne diseases and 420 000 deaths.” World Health Organisation

Food safety and consumer health are of utmost importance for the food industry. But even with so many controls in place, foodborne illness can still occur. New approaches are required to enable companies to take a more preventative approach to food safety. So why are companies turning to AI to solve this challenge?

The benefit and power of Artificial Intelligence (AI) has been discussed for years. However, recent challenges in the food industry have accelerated it’s implementation. AI is now part of the food industry revolution, and it’s here to stay.

The US based NCI created a method to estimate the usual or habitual amount of food, or nutrients eaten by populations, known as the NCI method.

Microbes are ubiquitous in nature. Their prevalence and spread – even with sanitisation procedures – is evident in food production environments. But what about condensation? Could this be just as big an enemy?

Creme Global Head of Data Modelling and Statistics, John O’Brien, offered his insights for the discussion paper ‘AI & Predictive Analytics for Food Risk Prevention’, published as part of the EU-funded digital transformation initiative called Big Data Grapes.

Before your inbox gets filled with heart emojis and other love related imagery ahead of Valentine’s Day, now is the perfect time to consider what you’re doing to keep your real heart healthy.

As the COVID-19 pandemic continues to put a strain on our lives, people are forced to change everyday habits to remain healthy. One positive outcome is that healthy living is now top priority, and people are actively looking to find ways to boost their immune system through exercise and diet.

COVID-19 has accelerated digital transformation of the food production chain across the globe.

Properly harnessing available data requires innovative and validated solutions that circumvent hype and buzzwords and instead focus on using advanced data access, analytics and predictive modelling harmoniously. Such solutions can then be used to underpin important safety and risk assessment decisions made by the industry and governments.

SAFFI (SAfe Food For Infants in the EU and China) targets food for EU’s 15 million and China’s 45 million children under the age of three. Project aims at developing an integrated approach to enhance the identification, assessment, detection and mitigation of safety risks raised by microbial and chemical hazards all along EU and China infant food chains.

One of the less obvious effects of the COVID-19 pandemic has been its impact on the traditional food supply chain. From initial lockdowns that brought about shortages to later normalisation of the pandemic measures that drove a significant shift from in-person shopping to digital, online channels.

The Creme-RIFM Model is the most comprehensive of its kind. We built the model on real-life data from more than 41,000 people on how consumers use fragranced products (how often and where on the body) on a daily basis.

Can data science drive advances in food safety? Panellists in the “Data Revolution: Is Food Safety Sitting on the Sidelines?” session tackled big questions about big data in a wide-ranging IFT SHIFT20 conference conversation.